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KDD
2006
ACM
167views Data Mining» more  KDD 2006»
15 years 10 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
KDD
2006
ACM
123views Data Mining» more  KDD 2006»
15 years 10 months ago
Mining rank-correlated sets of numerical attributes
We study the mining of interesting patterns in the presence of numerical attributes. Instead of the usual discretization methods, we propose the use of rank based measures to scor...
Toon Calders, Bart Goethals, Szymon Jaroszewicz
DIS
2006
Springer
15 years 1 months ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato
JMLR
2008
117views more  JMLR 2008»
14 years 9 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
SIGKDD
2010
125views more  SIGKDD 2010»
14 years 4 months ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...